We additionally provide the quantitative comparison on different categories in Table REF . For each category, we select 100 images and compute their average PSNR and LPIPS [1]}. It is observed that mGANprior and PULSE perform significantly worse as they fail to restore the original objects. GLEAN outperforms these methods in most categories, suggesting its effectiveness in generating images with high quality and fidelity.
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